An asset fault locating method based on a knowledge graph
CN122986701APending Publication Date: 2026-10-27HANGZHOU TIANFANG XINAN TECH CO LTD +2
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Patent Information
- Application Number
- CN202611212416.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-11
- Publication Date
- 2026-10-27
AI Technical Summary
Technical Problem
然而,故障状态沿不同节点连接关系传导时,对应的传播时间并不完全相同,且物理传播时间与告警事件的网络传输时间相互叠加,统一时间窗口难以准确确定每一节点连接关系两端的状态对应位置
Benefits of technology
本发明通过统一处理多源时序告警事件流中的源端采样时刻与图谱处理到达时刻,使告警事件能够按照工业资产实际状态变化顺序形成具有明确时间边界的节点状态时序,并在跨资产节点传播过程中持续校正不同采样源、网络传输、边缘汇聚及重传等待造成的时间错位,使参与故障分析的节点状态保持一致的事件时间基准;在此基础上,对缺少连续状态转换支撑、跨越时间空缺以及发生映射时间反向移动的时间范围进行排除,使进入邻域消息集合的节点状态片段具有明确的时间来源、有效范围和节点连接关系,减少不同时段告警状态被错误关联或重复聚合的情况;对于当前迭代层暂不具备有效时间对应关系的节点连接关系,不直接删除或强制填充节点状态,而是在目标聚合时间基准更新并通过回映核验后重新执行节点状态片段提取,使故障状态传播过程中的暂时性时间不匹配能够得到有条件的重新处理,同时控制无效消息和重复消息进入图神经网络消息聚合过程,最终使各资产节点的故障表征建立在连续、有效且方向一致的跨节点时间关系之上,使根因节点定位结果具有较清晰的数据依据、较稳定的状态关联关系和较低的时间错位干扰。
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Abstract
The application discloses a kind of asset fault location methods based on knowledge graph, specifically relates to asset fault location technical field, for solving the problem of multiple source alarm cross node time mispositioning causing aggregation distortion;By acquiring asset topology knowledge graph and multi-source time sequence alarm event stream, according to source sampling time and graph processing arrival time, node state fragment and node state time sequence are constructed, state transition record is matched along node connection relationship, state transition matching sequence and edge time sequence compensation relationship are formed;According to the boundary of node state fragment and mapping time advancing relationship, the current available mapping interval is formed, the node state fragment is extracted to form the neighborhood message set, the state fragment extraction order is marked after moving for the node connection relationship that does not meet the extraction condition, and the target aggregation time reference is updated according to the cumulative edge time sequence compensation relationship, the neighborhood message set is supplemented, and the fault representation and root cause node positioning result are obtained.
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